Facognition

Siew, Kok Yee (2016) Facognition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full text) Facognition.pdf - Submitted Version Download (2MB)

Abstract

Facognition is a computerized system that combine face detection and face recognition technique that detect and recognize human face. Human have an extraordinary ability that recognizes faces in different poses. Unlike human, computers do not have that kind of ability to recognize people and to distinguish what a face is. Therefore, it become highly desirable and challenging that replicate this human ability into a computer in which what we called face detection and recognition. In Facognition, face is detected using Haar cascade algorithm while the algorithm used in face recognition is Principal Component Analysis. The accuracy of face detection of Facogniton is 79.50% while accuracy in face recognition is 68.92%, Facognition can be used as biometric authentication or can be used in other security areas. To conclude, Facognition is successfully developed to detect and recognize multi faces in a picture as well to show information of the recognized face.

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